... compensation salt boundary spectral salt body high resolution imaging High Resolution Imaging with FWI on Wide Azimuth Towed Streamer Data: application in the Mississippi Canyon, GoM Wanying Wang*, Simon Luo, Xiaolei Song, Lennon Infante, Imtiaz Ahmed, Qingsong Li, Ganyuan Xia, Katrina Packer, bp...

... Accurate subsalt interpretation and imaging in complex salt regimes is a crucial facet when reducing energy exploration uncertainties in the Gulf of Mexico. Therefore, we propose a systematic approach to utilize mode-converted waves towards accurate salt body geometry identification followed...

... The Walker Ridge region of the Gulf of Mexico (GoM) has been a well explored, producing region for the industry. The main challenges have been defining the geometry of the salt bodies, and thus far it has either been tackled by acoustic FWI (Vigh, 2019) or tomographic techniques (Zhang, 2021...

... Full-waveform inversion (FWI) applied to regions with large salt bodies often fails without a good initial model, long offsets, and low frequencies. To address this limitation, a previous study embedded U-Nets within a multi-scale FWI to assist in building salt bodies by flooding and unflooding...

... by the exploration geophysics community in recent years, the inversion of salt bodies remains a challenge because of severely limited penetration of seismic waves through them, which obscures the view underneath. Hence, with such scarce information in the seismic data, it becomes imperative to quantify uncertainty...

... energy is both strongly coherent and exhibits identifiable spatially varying characteristics in the computed VSGs. In particular, after rotating the data components we find that radial-radial VSGs show the direct influence of salt bodies on surface-wave propagation. This suggests that low-frequency...

... the 2000-2003 timeframe, with further analysis up to 2014. flow assurance applied geoscience structural geology us government gas hydrate-bearing system mc-118 stability zone hydrate gas hydrate gulf reservoir characterization upstream oil & gas salt body woolsey mound thermobaric...

... with a few labelled sections in crossline and/or inline, we employ sequential 2D and pseudo-3D approach to first detect the salt surfaces approximately and then the salt body by using the salt surfaces as source of labels in the complementary depth/time direction, to train another machine which provides high...

... prediction. We therefore conclude that our new method is a viable tool for automated salt delineation from seismic depth images. machine learning deep learning accuracy reservoir characterization upstream oil & gas pseudo label salt body prediction neural network reflection padding salt...

... methodology for shaping allochthonous salt shape the salt geometry. Gravity-driven modeling was was TM-FWI (Kang et al., 2020), which positively impacted additionally used to validate and optimize the the imaging and increased our confidence in salt allochthonous salt bodies. Subsequently, common image...

... drops in depth is introduced to recover the top parts of salt bodies. Then an automatic salt flooding is applied to reconstruct deeper parts of the salt. Finally, in order to improve the accuracy of inverted model which is strongly affected by anisotropy, an anisotropic FWI is used to update velocity...

... Location: 361F Presentation Type: Oral structural geology salt body artificial intelligence workflow upstream oil & gas tm-fwi exploration geophysicist 10 inversion earth model building case study scenario testing full-waveform inversion seg international exposition reservoir...

...Deep learning for salt body detection applied to 3D Gulf of Mexico data Benjamin Consolvo*, Fairfield Geotechnologies, Ehsan Zabihi Naeini, Earth Science Analytics, Paul Docherty, Fairfield Geotechnologies Summary We first explore CNN architectures and our adaptive U-Net approach, and second we...

... We propose a variant of the U-Net neural network, dubbed U-SaltNet, for the task of salt body identification. We have incorporated several existing state-of-the-art modules into our neural network architecture. These modules include scSE, FPA and AG modules, etc. We validate our scheme on real...

... artificial intelligence seismic data salt body basis function radial basis function bayesian model swi fwi Stochastic full waveform inversion (SWI) of seismic data for FWI starting models Jinsong Chen, Uwe K. Albertin, Kurt Nihei, Sam Kaplan, Michael Hoversten, Lin Zhang, and Dimitri Bevc Chevron...

... Historically complex salt bodies (e.g. Canopy, Salt Weld…) can introduced serious imaging issues for geophysicists with distorted seismic images both beneath salt body and in the vicinity of the salt flanks or welds (Ian F. Jones, et al., 2014). This is mainly related to absorption...

... of improving the precision of reconstructed Depth imaging projects dedicated to hydrocarbon subsurface structures. Seismic, electromagnetic (EM) and exploration or field development rely heavily on velocity gravity data can offer complementary sensitivity to model building. When salt bodies are present...

... upstream oil & gas interpreter velocity model exploration geophysicist 10 neural network salt flood image salt body seg international exposition seismic image prediction accuracy convolutional layer salt boundary reservoir characterization flood image sediment flood image salt-flood...

... ABSTRACT In this paper, we present an application of most advanced DL (Deep Learning) approaches, in characterizing subsurface salt body on seismic images. Nowadays, DL has been widely used in many industries and achieving tons of successful results, while it is pioneering work to explore...

... for instant identification of small-scale events, to locate the pinch-out positions of formations and the edges of subsurface irregularities, such as edges of salt bodies. With the advent of time, these diffracted waves have been recognized as physically reliable carriers of high-resolution structural imaging...